OTS Solutions

JUNE 9, 2023

Enterprise applications can also provide valuable insights into different operations to help businesses make data-driven decisions. It is maintained by Google and provides a range of features, such as data binding, dependency injection, and testing.

Enterprise 130

Enterprise Applications Development Scalability 130

OTS Solutions

JUNE 9, 2023

Enterprise applications can also provide valuable insights into different operations to help businesses make data-driven decisions. It is maintained by Google and provides a range of features, such as data binding, dependency injection, and testing.

Enterprise 130

Enterprise Applications Development Scalability 130

Perficient

DECEMBER 7, 2023

Instead, it focuses on backend processes, like data aggregation, analysis, and integration. The primary goal is to provide a flexible, customizable, and more efficient way to handle data. Step 1: Assess Your Data Infrastructure Before diving into Headless BI, it’s crucial to understand your current data infrastructure.

How To 52

How To Scalability Analytics Google Cloud 52

Cloudera

NOVEMBER 16, 2021

With the general availability of Cloudera DataFlow for the Public Cloud (CDF-PC) , our customers can now self-serve deployments of Apache NiFi data flows on Kubernetes clusters in a cost effective way providing auto scaling, resource isolation and monitoring with KPI-based alerting. Introduction. How does this translate in NiFi?

Serverless 107

Serverless Lambda Microservices KPI 107

StubHub

NOVEMBER 5, 2018

In our effort to up our game, we have to: Constantly change the way we deliver products to our fans Increase our use of data to further personalize the fan experience Radically expand the number of experiments we conduct Double-down on our focus on the fan journey And accelerate everything?—?our Architecture ? Developers ?

Architecture 40

Architecture Weak Development Team SDLC Microservices 40

O'Reilly Media - Ideas

JUNE 4, 2019

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. AI-driven Future State Cloud Operations , June 7. Fundamentals of Machine Learning and Data Analytics , July 10-11. Spotlight on Data: Data Storytelling with Mico Yuk , July 15. Getting S.M.A.R.T

Course 67

Course Training Artificial Inteligence Software Review 67

Cloudera

SEPTEMBER 30, 2022

Cloudera DataFlow for the Public Cloud (CDF-PC) is a cloud-native service for Apache NiFi within the Cloudera Data Platform (CDP). New use cases: event-driven, batch, and microservices. However, customers also have a class of use cases that do not require always running NiFi flows.

Serverless 72

Serverless Microservices Lambda IoT 72

Linux Academy

JUNE 25, 2019

We will install some popular database systems available on Linux and work with data in those systems. Google Cloud Concepts. This course is for the true Google Cloud Platform beginner. What is the cloud or Google Cloud? Why do we use Google Cloud? Google Cloud Essentials (NEW).

Linux 60

Linux Course Cloud Google Cloud 60

Perficient

FEBRUARY 13, 2024

What is Microservices Architecture? Microservices Architecture Software development follows an architectural and organizational approach where small independent services communicate with each other through well-defined APIs. with DevOps tools like Jenkins with CI/CD, Docker, Ansible, Kubernetes, or other tools.

Microservices 105

Microservices Architecture Load Balancer MVC 105

O'Reilly Media - Ideas

JUNE 5, 2019

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. AI-driven Future State Cloud Operations , June 7. Fundamentals of Machine Learning and Data Analytics , July 10-11. Spotlight on Data: Data Storytelling with Mico Yuk , July 15. Getting S.M.A.R.T

Course 50

Course Training Artificial Inteligence Software Review 50

O'Reilly Media - Ideas

APRIL 30, 2019

By Roger Magoulas and Nikki McDonald --> Driven by the need for agility, scaling, and resiliency, organizations have spent more than a decade moving from “trying out the cloud” to a deeper, more sustained commitment to the cloud, including adopting cloud native infrastructure. 40% of respondents use a hybrid cloud architecture.

Infrastructure 105

Infrastructure Cloud Company Survey 105

O'Reilly Media - Ideas

FEBRUARY 5, 2019

Analysis of the O’Reilly online learning platform reveals a new approach to technical architecture, the rise of blockchain, and shifts in programming language adoption. The signs of a Next Architecture. There are four aspects of the Next Architecture, each of which shows up in the platform’s search and usage data.

Trends 85

Trends Artificial Inteligence Blockchain Microservices 85

O'Reilly Media - Ideas

JANUARY 2, 2019

Essential Machine Learning and Exploratory Data Analysis with Python and Jupyter Notebook , January 7-8. Protecting Data Privacy in a Machine Learning World , January 31. What You Need to Know About Data Science , February 4. Developing a Data Science Project , February 11. Data science and data tools.

Course 59

Course Artificial Inteligence Training Blockchain 59

Linux Academy

NOVEMBER 1, 2019

Google Cloud Essentials (NEW). This course is designed for those who want to learn about Google Cloud: what cloud computing is, the overall advantages Google Cloud offers, and a detailed explanation of all major services – what they are, their use cases, and how to use them. Big Data Essentials.

Linux 104

Linux Course AWS Google Cloud 104

O'Reilly Media - Ideas

DECEMBER 5, 2018

Essential Machine Learning and Exploratory Data Analysis with Python and Jupyter Notebook , January 7-8. Protecting Data Privacy in a Machine Learning World , January 31. Data science and data tools. Apache Hadoop, Spark, and Big Data Foundations , January 15. Python Data Handling - A Deeper Dive , January 22.

Artificial Inteligence 104

Artificial Inteligence Course Training Blockchain 104

Daniel Bryant

MARCH 13, 2019

At Datawire , we are seeing more organizations migrating to their “next-generation” cloud-native platform built around Docker and Kubernetes. Instead, we see the proliferation of multi-platform data centers and cloud environments where applications span both VMs and containers. However, this migration doesn’t happen overnight.

Data Center 40

Data Center Load Balancer Google Cloud Data 40

O'Reilly Media - Ideas

APRIL 3, 2019

TensorFlow Extended: Data Validation and Transform , May 16. Essential Machine Learning and Exploratory Data Analysis with Python and Jupyter Notebook , May 28-29. Spotlight on Cloud: The Future of Internet Security with Bruce Schneier , April 4. Introduction to Google Cloud Platform , June 3-4. Programming.

Course 48

Course Artificial Inteligence Training Google Cloud 48

Openxcell

NOVEMBER 27, 2023

A cloud migration involves moving an organization’s digital assets, IT resources, services, databases, and applications from an on-premises legacy infrastructure into a public cloud hyperscale environment such as AWS, GCP, or Azure. Data migration involves moving both data and analytics workloads.

Strategy 52

Strategy Tools Cloud Disaster Recovery 52

Exadel

FEBRUARY 7, 2020

It can be deployed to AWS, Azure, or Google Cloud Platform (GCP). In addition, CrossKube has full support for Kubernetes, Bastion Firewall, multiple data sources, microservice architecture, QA automation, and Zabbix monitoring. We hope to see you at ProductWorld 2020!

Conference 52

Conference Firewall Google Cloud Microservices 52

Trigent

MARCH 7, 2023

Depending on the system architecture, searching for and fixing errors takes a few minutes to an hour. Systems built on modern cloud based technologies and microservices architecture have many dependencies. In addition, we will focus even more on control system data before, during, and after a failure.

Engineering 52

Engineering Testing Open Source Infrastructure 52

Linux Academy

APRIL 30, 2019

This course covers the basics of Prometheus, which includes its architecture and components, such as exporters, client libraries, and alerting. Introduction to Migrating Databases and Virtual Machines to Google Cloud Platform — This course covers the various issues of migrating databases and virtual machines to Google Cloud Platform.

Linux 113

Linux AWS Big Data Course 113

Apiumhub

APRIL 18, 2019

We can’t wait to attend them all: Best practices in a modern (microservices) environment by Alvaro García. Micro Frontend: the microservice puzzle extended to frontend by Audrey Neveu. Micro Frontend: the microservice puzzle extended to frontend by Audrey Neveu. Responsible Microservices by Nate Schutta.

Technical Review 57

Technical Review Microservices Software Review CTO Coach 57

Linux Academy

MAY 28, 2019

Courses Free in May: Network Routing Protocol Fundamentals – Network routing is the process of enabling computers to transfer data over networks, including the internet. We will begin by discussing IP addressing, which provides logical addresses for data to be sent to. To use Docker Compose to deploy Microservices to Docker.

Linux 104

Linux AWS Azure Technical Review 104

Linux Academy

JANUARY 26, 2019

DevOps has become an integral part of the cloud – in Google Cloud , AWS , and Azure. As you create this nginx module, you’ll learn how to use resource types, provide operating system-specific parameters, store data in various Hiera hierarchies, and learn some Puppet best practices. Created by Travis Thomsen.

Course 60

Course Training DevOps Microservices 60

Altexsoft

JULY 4, 2022

An infrastructure engineer is a person who designs, builds, coordinates, and maintains the IT environment companies need to run internal operations, collect data, develop and launch digital products, support their online stores, and achieve other business objectives. Key components of IT infrastructure. Infrastructure monitoring and logging.

Infrastructure 64

Infrastructure Engineering Technical Review Google Cloud 64

O'Reilly Media - Ideas

MAY 1, 2019

Spotlight on Cloud: The Hidden Costs of Kubernetes with Bridget Lane , June 6. Spotlight on Data: Caching Big Data for Machine Learning at Uber with Zhenxiao Luo , June 17. Spotlight on Cloud: Becoming Cloud Native with Jon Collins , May 2. Data science and data tools. Core Agile , May 9. Programming.

Course 46

Course Training Artificial Inteligence Machine Learning 46

Confluent

FEBRUARY 6, 2019

It allows real-time data ingestion, processing, model deployment and monitoring in a reliable and scalable way. This blog post focuses on how the Kafka ecosystem can help solve the impedance mismatch between data scientists, data engineers and production engineers. Data scientists love Python, period.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

ParkMyCloud

MARCH 5, 2019

Lyft isn’t the first startup to generate attention from its massive public cloud bills – Snap and Spotify ’s Google Cloud bills are just two other examples. Microservices Architecture. Continuous Evaluation of Microservices. With 150 microservices, blanket policies won’t apply to all cases.

AWS 44

AWS Cloud Microservices Case Study 44

ParkMyCloud

MAY 7, 2019

Curious why serverless is so popular – and why it won’t replace traditional servers in the cloud? In the current cloud infrastructure, top service providers are dedicating a great deal of effort to expand on this architecture as a new approach to a cloud solution that focuses on applications rather than infrastructure.

Serverless 58

Serverless Lambda Google Cloud Azure 58

Tenable

NOVEMBER 29, 2022

While cloud computing providers such as Amazon Web Services (AWS), Google Cloud Platform (GCP) and Microsoft Azure offer robust and scalable services, securing your cloud environment brings its own unique challenges. You can reduce risk by addressing these eight common cloud security vulnerabilities and misconfigurations.

Applications 52

Applications Cloud Software Review Systems Review 52

Daniel Bryant

MARCH 27, 2019

At Datawire , we are seeing more organizations migrating to their “next-generation” cloud-native platform built around Docker and Kubernetes. Instead, we see the proliferation of multi-platform data centers and cloud environments where applications span both VMs and containers. However, this migration doesn’t happen overnight.

Load Balancer 40

Load Balancer Google Cloud Data Center Firewall 40

Exadel

MARCH 3, 2020

It can be deployed to AWS, Azure, or Google Cloud Platform (GCP). In addition, CrossKube has full support for Kubernetes, Bastion Firewall, multiple data sources, microservice architecture, QA automation, and Zabbix monitoring.

Conference 52

Conference Firewall Cloud Google Cloud 52

Linux Academy

APRIL 29, 2019

This course covers the basics of Prometheus, which includes its architecture and components, such as exporters, client libraries, and alerting. Introduction to Migrating Databases and Virtual Machines to Google Cloud Platform — This course covers the various issues of migrating databases and virtual machines to Google Cloud Platform.

Linux 60

Linux AWS Big Data Course 60

Kentik

NOVEMBER 7, 2018

You may still use monitoring appliances in your private/on-prem data centers, but how will you see the other side of the world (your footprints in public clouds)? Challenge #2 - The “lift and shift” cloud migration method has become less popular. Are there hidden fees behind your cloud bill? Google GCP - VPC Flow Logs.

Cloud 53

Cloud Azure AWS Google Cloud 53

Altexsoft

JULY 19, 2022

In the last few decades, we’ve seen a lot of architectural approaches to building data pipelines , changing one another and promising better and easier ways of deriving insights from information. There have been relational databases, data warehouses, data lakes, and even a combination of the latter two. What data mesh IS.

Architecture 52

Architecture Data Analytics Data Engineering 52

Linux Academy

JANUARY 1, 2020

Google Cloud Essentials (NEW). This course is designed for those who want to learn about Google Cloud: what cloud computing is, the overall advantages Google Cloud offers, and a detailed explanation of all major services – what they are, their use cases, and how to use them. Big Data Essentials.

Linux 31

Linux Course AWS Google Cloud 31

Apiumhub

AUGUST 12, 2021

This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.

Industry 59

Industry Technical Advisors CTO Coach Azure 59